Senior Data Engineer
Company | The Walt Disney Company |
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Location | Seattle, WA, USA, Santa Monica, CA, USA, Glendale, CA, USA |
Salary | $138900 – $195000 |
Type | Full-Time |
Degrees | Bachelor’s, Master’s |
Experience Level | Senior |
Requirements
- 5+ years of relevant data engineering experience
- Strong understanding of data modeling principles including dimensional modeling & data normalization principles.
- Good understanding of SQL Engines and able to conduct advanced performance tuning.
- 2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments
- 2+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift)
- Ability to think strategically, analyze and interpret market and consumer information.
- Strong communication skills – written and verbal presentations.
- Excellent conceptual and analytical reasoning competencies.
- Comfortable working in a fast-paced and highly collaborative environment.
- Familiarity with Agile Scrum principles and ceremonies
- Bachelor’s Degree in computer science, information systems, or related field or equivalent work experience.
Responsibilities
- Partner with technical and non-technical colleagues to understand data and reporting requirements.
- Work with engineering teams to collect required data from internal and external systems.
- Design table structures and define ETL pipelines to build performant Data solutions that are reliable and scalable in a fast growing data ecosystem.
- Develop Data Quality checks
- Develop and maintain ETL routines using ETL and orchestration tools such as Airflow
- Implement database deployments using tools like Schema Change
- Perform ad hoc analysis as necessary.
- Perform SQL and ETL tuning as necessary.
Preferred Qualifications
- Masters Degree in a related field
- Related certification/s
- 1+ years of experience programming languages (e.g. Python, Pyspark)
- 1+ years of experience with data orchestration/ETL tools (Airflow, Nifi)
- Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow.